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Facundo Bromberg
Observed names:
Bromberg, Facundo,
F. Bromberg,
Facundo BROMBERG,
Velez, Javier Ignacio
Institutions:
National Technological University,
Consejo Nacional de Investigaciones Científicas y Técnicas
Observed institutions:
National Technological University,
Consejo Superior de Investigaciones Científicas,
Consejo Nacional de Investigaciones Científicas y Técnicas,
Iowa State University,
Centre for Automation and Robotics,
Centro Científico Tecnológico - Mendoza
show all 6
ORCID:
0000-0003-2638-1350
Observed ORCID:
0000-0003-2638-1350
OpenAlex ID:
A5032479881
Prediction of Frost Events Using Machine Learning and IoT Sensing Devices
2018
·
Ana Laura Diedrichs
, Facundo Bromberg
, et al.
·
IEEE Internet of Things Journal
·
102
An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection
2011
·
Carlos A. Catania
, Facundo Bromberg
, et al.
·
Expert Systems with Applications
·
89
Efficient Markov Network Structure Discovery Using Independence Tests
2009
·
F. Bromberg
, D. Margaritis
, et al.
·
Journal of Artificial Intelligence Research
·
64
PDF
Image classification for detection of winter grapevine buds in natural conditions using scale-invariant features transform, bag of features and support vector machines
2017
·
Diego Sebastián Pérez
, Facundo Bromberg
, et al.
·
Computers and Electronics in Agriculture
·
51
PDF
Grapevine buds detection and localization in 3D space based on Structure from Motion and 2D image classification
2018
·
Carlos Ariel Díaz
, Diego Sebastián Pérez
, et al.
·
Computers in Industry
·
28
PDF
Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation
2009
·
Facundo Bromberg
, Dimitris Margaritis
·
24
Towards practical 2D grapevine bud detection with fully convolutional networks
2021
·
Wenceslao Villegas Marset
, Diego Sebastián Pérez
, et al.
·
Computers and Electronics in Agriculture
·
21
PDF
Efficient Markov Network Discovery Using Particle Filters
2009
·
Dimitris Margaritis
, Facundo Bromberg
·
Computational Intelligence
·
21
Efficient Markov Network Structure Discovery using Independence Tests
2006
·
Facundo Bromberg
, Dimitris Margaritis
, et al.
·
SIAM International Conference on Data Mining
·
20
Learning Markov Network Structure using Few Independence Tests
2008
·
Parichey Gandhi
, Facundo Bromberg
, et al.
·
SIAM International Conference on Data Mining
·
12
The IBMAP approach for Markov network structure learning
2014
·
Federico Schlüter
, Facundo Bromberg
, et al.
·
Annals of Mathematics and Artificial Intelligence
·
8
PDF
Towards a true conservation zero tillage system: “A proposed solution based on computer vision to herbicide resistance.”
2024
·
Juan Manuel López-Correa
, Hugo Moreno
, et al.
·
Computers and Electronics in Agriculture
·
7
8. Multi species weed detection with Retinanet one-step network in a maize field
2021
·
J.M. López Correa
, M. Todeschini
, et al.
·
Wageningen Academic Publishers eBooks
·
7
Arm Muscular Effort Estimation from Images Using Computer Vision and Machine Learning
2015
·
Leandro Abraham
, Facundo Bromberg
, et al.
·
Lecture notes in computer science
·
6
Blankets Joint Posterior score for learning Markov network structures
2017
·
Federico Schlüter
, Yanela Strappa
, et al.
·
International Journal of Approximate Reasoning
·
5
PDF
Ensemble of shape functions and support vector machines for the estimation of discrete arm muscle activation from external biceps 3D point clouds
2018
·
Leandro Abraham
, Facundo Bromberg
, et al.
·
Computers in Biology and Medicine
·
4
PDF
Markov random fields factorization with context-specific independences
2013
·
Edera, Alejandro
, Bromberg, Facundo
, et al.
·
arXiv (Cornell University)
·
4
PDF
Independence-Based MAP for Markov Networks Structure Discovery
2011
·
Facundo Bromberg
, Federico Schluter
, et al.
·
IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
·
4
Efficient and robust independence-based Markov network structure discovery
2007
·
Facundo Bromberg
, Dimitris Margaritis
·
International Joint Conference on Artificial Intelligence
·
4
Learning Markov Networks with Context-Specific Independences
2013
·
Alejandro Edera
, Federico Schluter
, et al.
·
IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
·
3
Efficient Comparison Of Independence Structures Of Log-Linear Models
2023
·
Jan Strappa
, Facundo Bromberg
·
The Computer Journal
·
2
PDF
Learning Markov Network Structures Constrained by Context-Specific Independences
2014
·
Alejandro Edera
, Federico Schlüter
, et al.
·
International Journal of Artificial Intelligence Tools
·
2
The Grow-Shrink strategy for learning Markov network structures constrained by context-specific independences
2014
·
Edera, Alejandro
, Strappa, Yanela
, et al.
·
arXiv (Cornell University)
·
2
PDF
The Grow-Shrink Strategy for Learning Markov Network Structures Constrained by Context-Specific Independences
2014
·
Alejandro Edera
, Yanela Strappa
, et al.
·
Lecture notes in computer science
·
2
Characterization of LQI behavior in WSN for glacier area in Patagonia Argentina
2013
·
Ana Laura Diedrichs
, Maria Ines Robles
, et al.
·
Argentine Symposium and Conference on Embedded Systems (SASE/CASE)
·
2
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Works count:
64
Citation count:
502
H-index:
10
I10-index:
10
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